diff --git a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
index cf2653d0f..b1be759d8 100644
--- a/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
+++ b/include/torch-mlir/Dialect/Torch/IR/GeneratedTorchOps.td
@@ -5688,6 +5688,32 @@ def Torch_AtenGatherOp : Torch_Op<"aten.gather", [
   }];
 }
 
+def Torch_AtenScatterAddOp : Torch_Op<"aten.scatter_add", [
+    AllowsTypeRefinement,
+    HasValueSemantics,
+    ReadOnly
+  ]> {
+  let summary = "Generated op for `aten::scatter_add : (Tensor self, int dim, Tensor index, Tensor src) -> (Tensor)`";
+  let arguments = (ins
+    AnyTorchTensorType:$self,
+    Torch_IntType:$dim,
+    AnyTorchTensorType:$index,
+    AnyTorchTensorType:$src
+  );
+  let results = (outs
+    AnyTorchTensorType:$result
+  );
+  let hasCustomAssemblyFormat = 1;
+  let extraClassDefinition = [{
+    ParseResult AtenScatterAddOp::parse(OpAsmParser &parser, OperationState &result) {
+      return parseDefaultTorchOp(parser, result, 4, 1);
+    }
+    void AtenScatterAddOp::print(OpAsmPrinter &printer) {
+      printDefaultTorchOp(printer, *this, 4, 1);
+    }
+  }];
+}
+
 def Torch_AtenIntImplicitOp : Torch_Op<"aten.IntImplicit", [
     AllowsTypeRefinement,
     HasValueSemantics,
diff --git a/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/torch_ods_gen.py b/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/torch_ods_gen.py
index aa3a4ede7..204210271 100644
--- a/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/torch_ods_gen.py
+++ b/python/torch_mlir/dialects/torch/importer/jit_ir/build_tools/torch_ods_gen.py
@@ -446,6 +446,7 @@ def emit_ops(emitter_td: TextEmitter, registry: Registry):
     emit("aten::len.Tensor : (Tensor) -> (int)")
     emit("aten::cpu : (Tensor) -> (Tensor)")
     emit("aten::gather : (Tensor, int, Tensor, bool) -> (Tensor)")
+    emit("aten::scatter_add : (Tensor, int, Tensor, Tensor) -> (Tensor)")
     emit("aten::IntImplicit : (Tensor) -> (int)")
     emit("aten::tensor.float : (float, int?, Device?, bool) -> (Tensor)")
     emit("aten::Int.Tensor : (Tensor) -> (int)", has_folder=True)